Books in Control of chemical and biotechnological processes

11-14 of 14 results in All results

Practical Process Control

• 1st Edition
• June 26, 1998
• Anthony Seal
• English
• Hardback 978-0-340-70590-2

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• eBook 978-0-08-053939-3

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Practical Process Control introduces process control to engineers and technicians unfamiliar with control techniques, providing an understanding of how to actually apply control in a real industrial environment. It avoids analytical treatment of the numerous statistical process control techniques to concentrate on the practical problems involved. A practical approach is taken, making it relevant in virtually all manufacturing and process industries. There is currently no information readily available to practising engineers or students that discusses the real problems and such material is long overdue.

Computational Methods for Process Simulation

• 2nd Edition
• November 20, 1997
• W. Fred Ramirez
• English
• Hardback 978-0-7506-3541-7

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• eBook 978-0-08-052969-1

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Process Modelling and simulation have proved to be extremely successful engineering tools for the design and optimisation of physical, chemical and biochemical processes. The use of simulation has expanded rapidly over the last two decades because of the availability of large high-speed computers and indeed has become even more widespread with the rise of the desk-top PC resources now available to nearly every engineer and student. In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. Computational Methods for Process Simulation develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the internet.

Intelligent Systems in Process Engineering, Part II: Paradigms from Process Operations

• 1st Edition
• Volume 22
• October 3, 1995
• George Stephanopoulos + 2 more
• English
• eBook 978-0-08-056569-9

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Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems.

Design of Distillation Column Control Systems

• 1st Edition
• December 1, 1985
• P. Buckley + 2 more
• English
• Hardback 978-0-7131-3551-0

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A distillation column is both multivariable and nonlinear - and it consumes immense quantities of energy. Yet, despite the desigh challenges it presents, it is still the most popular unit operation for refining in industrial plants today. Much has been published on the subject of distillation column design, but much remains to be explained. That is why this book is unique. In a departure from the more traditional empirical and theoretical approaches, it introduced the reader to the practical realm, by presenting quantitative design techniques that have been demonstrated to be useful and valid over the course of hundreds of actual applications. The book is divided into three main parts. Part I, an introduction, presents an industrial perspective of control objectives. It discusses briefly the relationship between column design features and column controllability. It thus provides a short refresher course for chemical engineers and background for those trained in other branches of engineering. Part II, Concepts and Configurations, discusses column overhead and base arrangements, typical control schemes, and some hardware considerations. Part III is dedicated to quantitative design. Mathematical models are presented for pressure and differential pressure controls, liquid level control, and composition control of binary distillation.